Advanced Machine Learning Engineer for Conversational AI

1 week ago


Seattle, Washington, United States Apple Full time

About the Role

We are seeking an experienced Machine Learning Engineer to join our team at Apple. As a key member of our ML Systems Evaluation Engineering (MLSEE) team, you will play a critical role in evaluating and deploying cutting-edge conversational AI technologies.

Responsibilities

  • Develop and deploy large language models (LLMs) for various applications, ensuring high accuracy and performance.
  • Design and implement ETL pipelines and data processing workflows using technologies like AWS, Spark, and Airflow.
  • Build and deploy APIs to provide seamless access to machine learning models.
  • Promote engineering to create high-quality synthetic datasets for model training and evaluation.
  • Maintain and manage deployments using Kubernetes and related technologies.

Requirements

  • Strong programming skills in Python and experience with cloud services like AWS and container orchestration using Kubernetes.
  • Knowledge of big data technologies like Spark, Airflow, and Trino, and familiarity with databases like Snowflake, MySQL, PostgreSQL.
  • Experience with data visualization and reporting tools such as Tableau.
  • Prior experience in machine learning or related scientific research is highly desirable.

What We Offer

  • A competitive salary range of $135,400 - $250,600, based on your skills, qualifications, experience, and location.
  • The opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
  • Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition, for formal education related to advancing your career at Apple.

About Apple

At Apple, we are committed to inclusion and diversity, and take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.



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